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BIOSTAT M280Statistical Computing

Biostatistics · 4 units · Graduate courses (200-299)

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(Same as Biomathematics M280 and Statistics M230.) Introduction to theory and design of statistical programs: computing methods for linear and nonlinear regression, dealing with constraints, robust estimation, and general maximum likelihood methods.

Letter grading.

When it runs

Requisites

Official UCLA wording

Requisites: Mathematics 115A, Statistics 100C.

BruinTree reads · Prerequisite

confidence 1.00 · from text
all of
  • MATH 115A
  • STATS 100C

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Requires

Everything that has to come before this course, not just the courses named in the requisite above.

BIOSTAT M280

  • MATH 115ALinear Algebra
    • MATH 33ALinear Algebra and Applications
      • MATH 3BCalculus for Life Sciences Students1 more beneath
      • MATH 31BIntegration and Infinite Series
      • MATH 32ACalculus of Several Variables
  • STATS 100CLinear Models
    • MATH 170SIntroduction to Probability and Statistics 2: Statistics
      • MATH 31ADifferential and Integral Calculus1 more beneath
      • STATS 100AIntroduction to Probability1 more beneath
      • MATH 31BIntegration and Infinite Seriesanother path to it
      • MATH 170AProbability Theory Ianother path to it
      • MATH 170EIntroduction to Probability and Statistics 1: Probabilityanother path to it
    • STATS 100BIntroduction to Mathematical Statistics
      • MATH 170AProbability Theory I2 more beneath
      • STATS 100AIntroduction to Probabilityanother path to it
      • MATH 170EIntroduction to Probability and Statistics 1: Probability1 more beneath

2 direct requisites. Showing 16 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

No course in the catalog lists this as a requisite.